INTUIT (Interactive Toolset for Understanding Trade-offs in ATM Performance) is a research project within SESAR 2020 Exploratory Research which aims to explore the potential of a variety of visual analytics and machine learning techniques to improve our understanding of the trade-offs between Air Traffic Management KPAs, identify cause-effect relationships between performance drivers and performance indicators at different scales, and develop new decision support tools for ATM performance monitoring and management. The project is conducted by a consortium composed by Nommon (Project Coordinator), ALG, Fraunhofer-IAIS, CeDInt-UPM, and Transport & Mobility Leuven. The project started on 1 March 2016 and will run for 24 months.